{"id":3210,"date":"2017-04-26T16:26:34","date_gmt":"2017-04-26T16:26:34","guid":{"rendered":"https:\/\/www.anychart.com\/blog\/?p=3210"},"modified":"2018-11-15T12:08:26","modified_gmt":"2018-11-15T12:08:26","slug":"data-over-time-trend-chart-types","status":"publish","type":"post","link":"https:\/\/www.anychart.com\/blog\/2017\/04\/26\/data-over-time-trend-chart-types\/","title":{"rendered":"Choose Right Chart Type for Data Visualization. Part 3: Data Over Time (Trend Context)"},"content":{"rendered":"<p><img decoding=\"async\" class=\"alignnone wp-image-3344 size-full\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/chart-types-for-date-time-timeline-data-visualization.png\" alt=\"Chart types for data over time visualization and trend context\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/chart-types-for-date-time-timeline-data-visualization.png 1200w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/chart-types-for-date-time-timeline-data-visualization-300x170.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/chart-types-for-date-time-timeline-data-visualization-768x435.png 768w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/chart-types-for-date-time-timeline-data-visualization-1024x579.png 1024w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/>We are continuing the effort to better familiarize you with the world of chart types. This time let&#8217;s\u00a0talk about good\u00a0ways to visualize and explore\u00a0<strong>Data Over Time<\/strong>.<\/p>\n<p>Watching the change in data over time helps identify trends\u00a0and dynamics in diverse timeline-based sets of values. Needless to say, choosing a right chart type is very important here. When\u00a0applying an inappropriate form of visualization to your data, you might\u00a0end up with an inaccurate idea of what happened in the past,\u00a0what&#8217;s taking place now, and\/or what will occur in the future. But we&#8217;ll do our best to help you avoid any mistakes in this field so you always make only right decisions based on your date\/time data.<\/p>\n<p>So, let&#8217;s get to the gist now.<\/p>\n<p><!--more--><\/p>\n<h2>List of Chart Types to Observe Trends in Data Over Time<\/h2>\n<p>As we did in the previous parts of the <a href=\"https:\/\/www.anychart.com\/blog\/category\/choosing-chart-type\/\" target=\"_blank\"><strong><em>Choose Right Chart Type for Data Visualization<\/em><\/strong><\/a> series, let&#8217;s begin with a list. The following types of charts are\u00a0intended for viewing timeline (date\/time) based data, revealing trends, etc.:<\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">Line, Spline, Step Line, and Area charts;<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Candlestick and OHLC charts;<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Stock charts;<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Sparkline\u00a0charts \u2013 Line (Area), Column, and Win\/Loss Sparklines.<\/span><\/li>\n<\/ul>\n<p>For more details on each, please read the information below.<\/p>\n<h2>Choosing Charts for Displaying Data Over Time<\/h2>\n<h3>Line, Spline, Step Line, and Area Chart<\/h3>\n<p>To <strong>observe data over time<\/strong>, the most common solution is the <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/line-chart\/\" target=\"_blank\">Line chart<\/a>. Line charts help <strong>identify trends<\/strong>, speed-ups \/ slow-downs, global \/ local peaks and valleys.<\/p>\n<p>For example: sales over time.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Line_Charts\/Line_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3251\" title=\"Click to see the interactive version of this Line chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-line-chart-type.png\" alt=\"Line chart of sales changes as data over time visualization for trend context analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-line-chart-type.png 1048w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-line-chart-type-300x160.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-line-chart-type-768x409.png 768w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-line-chart-type-1024x545.png 1024w\" sizes=\"(max-width: 1048px) 100vw, 1048px\" \/><\/a><\/p>\n<p>Additional examples include: traffic over time, etc.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/spline-chart\/\" target=\"_blank\">Spline charts<\/a> can also be used to help identify trends. Points in this type of chart are connected with each other by <strong>approximating the mean values between points<\/strong> using curved lines instead of straight ones.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Line_Charts\/Spline_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3250\" title=\"Click to see the interactive version of this Spline chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-spline-chart-type.png\" alt=\"Spline chart of stock share prices as data over time visualization for trend context analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-spline-chart-type.png 1274w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-spline-chart-type-300x155.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-spline-chart-type-768x398.png 768w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-spline-chart-type-1024x530.png 1024w\" sizes=\"(max-width: 1274px) 100vw, 1274px\" \/><\/a><\/p>\n<p>When it is important to <strong>show not only dynamics but mainly the leap in transition<\/strong> from one value to another, the <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/stepline-chart\/\" target=\"_blank\">Step Line chart<\/a>\u00a0type is very useful.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Line_Charts\/Step-Line_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3249\" title=\"Click to see the interactive version of this Step Line chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-step-line-chart-type.png\" alt=\"Step Line chart of customers' comments as yearly data over time visualization for trend context analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-step-line-chart-type.png 829w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-step-line-chart-type-300x167.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-step-line-chart-type-768x428.png 768w\" sizes=\"(max-width: 829px) 100vw, 829px\" \/><\/a><\/p>\n<p>You can find more <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Line_Charts\/\" target=\"_blank\">Line chart, Spline chart and Step Line chart samples in this gallery<\/a>.<\/p>\n<p>For <strong>trends in cumulative data<\/strong>\u00a0such as trading volumes and revenue, you can use <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/area-chart\/\" target=\"_blank\">Area charts<\/a>. These are basically Line charts with the area between the series and the X-axis filled with some color:<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Area_Charts\/Area_Chart_with_Negative_Values.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3248\" title=\"Click to see the interactive version of this Area chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-area-chart-type.png\" alt=\"Area chart of corporate profit data over time for trend context visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-area-chart-type.png 877w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-area-chart-type-300x174.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-area-chart-type-768x447.png 768w\" sizes=\"(max-width: 877px) 100vw, 877px\" \/><\/a><\/p>\n<p>Take a look at more <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Area_Charts\/\" target=\"_blank\">Area chart samples in this gallery<\/a>.<\/p>\n<h3>Candlestick and OHLC Chart<\/h3>\n<p>When Line, Spline and Area charts are not enough because you <strong>also need to see the distribution<\/strong> of each value in each time period, use <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/japanese-candlestick-chart\/\" target=\"_blank\">Candlestick charts<\/a> or <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/ohlc-chart\/\" target=\"_blank\">Open-High-Low-Close (OHLC) charts<\/a>. The most common application for these charts types is \u201cmarket watch\u201d trading.<\/p>\n<p>Examples include: stock price, server response time, etc.<\/p>\n<p>For dynamic analysis in real time, the Candlestick chart is usually more helpful:<\/p>\n<p><a href=\"https:\/\/playground.anychart.com\/chartopedia-gallery\/latest\/samples\/Japanese_Candlestick_Chart\" target=\"_blank\" rel=\"nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3247\" title=\"Click to see the interactive version of this Candlestick chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-candlestick-chart-type.png\" alt=\"Candlestick chart visualization for dynamic analysis of data over time\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-candlestick-chart-type.png 731w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-candlestick-chart-type-300x231.png 300w\" sizes=\"(max-width: 731px) 100vw, 731px\" \/><\/a><\/p>\n<p>Sometimes OHLC charts look better than Candlestick ones. For example, the OHLC type is often used for <strong>historical data<\/strong>-based, mostly static charts:<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anystock\/gallery\/Stock_Chart_Types\/OHLC_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3246\" title=\"Click to see the interactive version of this OHLC chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-OHLC-chart-type.png\" alt=\"OHLC chart of market price data over time for trend context visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-OHLC-chart-type.png 725w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-OHLC-chart-type-300x179.png 300w\" sizes=\"(max-width: 725px) 100vw, 725px\" \/><\/a><\/p>\n<p>You can find more <a href=\"https:\/\/www.anychart.com\/products\/anystock\/gallery\/Stock_Chart_Types\/\" target=\"_blank\">Candlestick chart and OHLC chart samples in this gallery<\/a>.<\/p>\n<h3>Stock Chart<\/h3>\n<p>When your data set is too big (e.g. financial data over a long time period with small intervals), the <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/stock-chart\/\" target=\"_blank\">Stock chart<\/a> type often is the best choice.<\/p>\n<p>Stock charts are specifically designed for <strong>efficient work with large amounts of data<\/strong>. Moreover, they are ideal for analyzing data with the help of internal tools such as <a href=\"https:\/\/www.anychart.com\/products\/anystock\/gallery\/Stock_Technical_Indicators\/\" target=\"_blank\">technical indicators<\/a>.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anystock\/gallery\/Stock_Technical_Indicators\/Moving_Average_Convergence_Divergence_(MACD).php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3245\" title=\"Click to see the interactive version of this Stock chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-stock-chart-type.png\" alt=\"Stock chart of stock data over time for trend context visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-stock-chart-type.png 936w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-stock-chart-type-300x174.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-stock-chart-type-768x446.png 768w\" sizes=\"(max-width: 936px) 100vw, 936px\" \/><\/a><\/p>\n<p>You can find more <a href=\"https:\/\/www.anychart.com\/products\/anystock\/gallery\/\" target=\"_blank\">Stock chart samples in this gallery<\/a>.<\/p>\n<h3>Sparkline Chart<\/h3>\n<p>To quickly <strong>identify trend variability only<\/strong>, not the values themselves, <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/sparkline-chart\/\" target=\"_blank\">Sparkline charts<\/a> are a great option. They have no coordinates or axes and are very minimalist. As a result, you can conveniently place multiple Sparklines side-by-side for determining trends in various data sets at once or even insert charts like these into a text.<\/p>\n<p>For <strong>working with continuous data<\/strong>, the most common solutions are line and area series-based Sparklines. In some situations, Column Sparkline charts look better, e.g. for a stronger focus on the difference between values.<\/p>\n<p>For example: sales performance monitoring.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Sparkline_Charts\/Column.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3244\" title=\"Click to see the interactive version of this Column and Line Sparkline chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-sparklines-chart-type.png\" alt=\"Column and Line Sparkline chart of sales performance for trend context visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-sparklines-chart-type.png 829w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-sparklines-chart-type-300x194.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-sparklines-chart-type-768x497.png 768w\" sizes=\"(max-width: 829px) 100vw, 829px\" \/><\/a><\/p>\n<p>Additional examples include: trends in stock price movements over a time period, etc.<\/p>\n<p>To understand a <strong>binary assessment of data<\/strong>, e.g. positive\/negative evaluations, the most appropriate type of chart is Win\/Loss Sparklines.<\/p>\n<p>For example: sports teams&#8217; season results.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Sparkline_Charts\/WinLoss.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3243\" title=\"Click to see the interactive version of this Win\/Loss Sparkline chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-win-loss-sparklines-chart-type.png\" alt=\"Win\/Loss Sparkline chart of sports teams' performance data over time for trend context visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-win-loss-sparklines-chart-type.png 898w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-win-loss-sparklines-chart-type-300x176.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-over-time-win-loss-sparklines-chart-type-768x451.png 768w\" sizes=\"(max-width: 898px) 100vw, 898px\" \/><\/a><\/p>\n<p>Additional examples include: increases and decreases in stock market price, etc. Take a look at more <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Sparkline_Charts\/\" target=\"_blank\">Sparkline chart examples in this gallery<\/a>.<\/p>\n<h2>Conclusion<\/h2>\n<p>Revealing trends in data over time gets quite easy when you have chosen the right chart type. As you see, there are many forms\u00a0that you can resort to. It would be safe to assume that the majority of situations\u00a0will require a Line chart (with variations such as Spline, Step Line, or\u00a0Area charts),\u00a0a Candlestick or an OHLC chart,\u00a0a Stock chart, or a Sparkline chart.<\/p>\n<p>Nevertheless, please always pay attention to your data first and consider your goals. There might be situations that require a different approach. But you can go to the free <a href=\"https:\/\/www.anychart.com\/chartopedia\/\" target=\"_blank\">Chartopedia<\/a>\u00a0resource at any time. It\u00a0can provide more suggestions depending on exactly what you want from your data visualization. There you will find <a href=\"https:\/\/www.anychart.com\/chartopedia\/usage-type\/chart-to-show-data-over-time\/\" target=\"_blank\">chart types that nicely work to display data over time<\/a> (or, for example, specifically <a href=\"https:\/\/www.anychart.com\/chartopedia\/usage-type\/chart-to-show-finance\/\" target=\"_blank\">financial data<\/a>), with comprehensive descriptions, usage examples, and so on. After that, we invite you to visit our JS charting libraries&#8217; <a href=\"https:\/\/docs.anychart.com\" target=\"_blank\" rel=\"nofollow\">Documentation<\/a> and <a href=\"https:\/\/api.anychart.com\" target=\"_blank\" rel=\"nofollow\">API Reference<\/a> to see how to make a necessary HTML5\u00a0chart.<\/p>\n<p>In the meantime, we will continue sharing helpful tips within the framework of the\u00a0<em><strong>Choose Right Chart Type for Data Visualization<\/strong><\/em> series on our blog.<\/p>\n<!-- AddThis Advanced Settings generic via filter on the_content --><!-- AddThis Share Buttons generic via filter on the_content -->","protected":false},"excerpt":{"rendered":"<p>We are continuing the effort to better familiarize you with the world of chart types. This time let&#8217;s\u00a0talk about good\u00a0ways to visualize and explore\u00a0Data Over Time. Watching the change in data over time helps identify trends\u00a0and dynamics in diverse timeline-based sets of values. Needless to say, choosing a right chart type is very important here. [&hellip;]<!-- AddThis Advanced Settings generic via filter on get_the_excerpt --><!-- AddThis Share Buttons generic via filter on get_the_excerpt --><\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[178,4],"tags":[53,93,72,73,35,198,127,44,129,85,49,195,54,47,32,55,144,79,36,141,81,57,76,58,65,56,78,196,106,199,202,201,197,200,37,30],"class_list":["post-3210","post","type-post","status-publish","format-standard","hentry","category-choosing-chart-type","category-tips-and-tricks","tag-anychart","tag-anystock","tag-area-chart","tag-area-charts","tag-business-intelligence","tag-candlestick-chart","tag-chart-types","tag-charts-and-art","tag-choosing-the-right-chart-type","tag-column-charts","tag-dashboards","tag-data-over-time","tag-data-visualization","tag-financial-charts","tag-html5","tag-html5-charts","tag-infographics","tag-interactive-html5-dashboard","tag-javascript","tag-javascript-charting","tag-javascript-charting-library","tag-javascript-charts","tag-javascript-dashboards","tag-js-chart","tag-js-charting","tag-js-charts","tag-js-dashboards","tag-line-chart","tag-line-charts","tag-ohlc-chart","tag-sparkline-chart","tag-sparklines","tag-step-line-chart","tag-stock-chart","tag-stock-charts","tag-tips-and-tricks","wpautop"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Over Time (Trend Context): Choose Right Chart Type for Data Visualization (Part 3)<\/title>\n<meta name=\"description\" content=\"We&#039;re continuing the effort to better familiarize you with the world of chart types. 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